Edge Computing and AI for IoT: Opportunities and Challenges

The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this d...

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Bibliographic Details
Main Authors: Lim, Ean Heng, Yuen Chai, Tong, Muniandy, Manoranjitham a-p, Fui Yong, Tien, Ooi, Boon Yaik, Lin, Jim-Min
Format: Conference Proceeding
Language:English
Subjects:
Edge Computing
Internet of Things
IoT
Privacy
Real-time systems
Regulators
Stakeholders
Technological innovation
Transforms
Online Access:Request full text
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Summary:The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan58799.2023.10226787